A global B2B SaaS company with a broad portfolio of customer-facing services faced growing challenges with inconsistent observability, alert fatigue, and operational inefficiency. To improve reliability at scale, the team adopted Nobl9 and integrated it with Amazon CloudWatch, Prometheus, and Splunk to centralize telemetry and build meaningful service level objectives (SLOs) tied to actual customer impact. With error budgets embedded into operational workflows, they reduced alert noise, improved response times, and created transparency across engineering and product teams. This approach strengthened SLA performance, boosted internal alignment, and increased customer trust without requiring changes to existing monitoring tools.